Wennergren David, Stjernström Stina, Möller Michael, Sundfeldt Mikael, Ekholm Carl
Department of Orthopaedics, Sahlgrenska University Hospital, SE-413 45, Gothenburg, Mölndal, Sweden.
BMC Musculoskelet Disord. 2017 Jun 10;18(1):251. doi: 10.1186/s12891-017-1612-3.
The ability to correctly classify fractures is of importance for choosing the appropriate treatment and for providing appropriate data for research and quality registers. In the Swedish Fracture Register (SFR) fractures of all types are registered by the attending physician, often a junior doctor. For the majority of fractures, a modified AO/OTA classification is used. This study aimed to validate the accuracy of classification of humerus fractures in the SFR and also at providing insight into inherent classification uncertainties.
One hundred and sixteen humerus fractures (among them 90 proximal) were retrieved by computer randomisation from the SFR and reassessed independently at two occasions, 6 weeks apart, by three senior orthopaedic surgeons blinded to patient information and a consensus "gold standard" classification was established. This was compared with the classifications that had been entered into the register.
The agreement between gold standard classification and original classification in the SFR was kappa = 0.57 for all humerus fractures. For proximal humerus fractures kappa-coefficient for intra-observer agreement was 0.593, 0.599 and 0.752 for the three observers respectively. Taking into account the similarities between certain fracture groups, a modified calculation of agreement was performed. With this modification the intra-observer agreement was 0.910-0.974 and inter-observer agreement was 0.912.
The classification of humerus fractures in the Swedish Fracture Register was just as accurate as in previous studies, i.e. moderate as defined by Landis and Koch. However, when we introduced a modified analysis, that takes into account the similarities between certain fractures, the accuracy was "near perfect".
正确分类骨折对于选择合适的治疗方法以及为研究和质量登记提供适当的数据非常重要。在瑞典骨折登记处(SFR),所有类型的骨折均由主治医生(通常是初级医生)进行登记。对于大多数骨折,采用改良的AO/OTA分类法。本研究旨在验证SFR中肱骨骨折分类的准确性,并深入了解固有的分类不确定性。
通过计算机随机从SFR中检索出116例肱骨骨折(其中90例为近端骨折),由三位对患者信息不知情的资深骨科医生在相隔6周的两个时间点独立重新评估,并建立了共识“金标准”分类。将其与登记册中输入的分类进行比较。
所有肱骨骨折的金标准分类与SFR中原始分类之间的一致性kappa值为0.57。对于近端肱骨骨折,三位观察者的观察者内一致性kappa系数分别为0.593、0.599和0.752。考虑到某些骨折组之间的相似性,进行了一致性的修正计算。经过这种修正,观察者内一致性为0.910 - 0.974,观察者间一致性为0.912。
瑞典骨折登记处中肱骨骨折的分类与先前研究中的准确性相同,即按照Landis和Koch的定义为中等。然而,当我们引入一种考虑某些骨折之间相似性的修正分析时,准确性“近乎完美”。